A Collection of Pydantic Models to Abstract IRL

🤖 Native iOS implementation of the ReAct (Reasoning + Acting) AI agent pattern with SwiftUI. Watch AI think, act, and solve problems step-by-step using OpenAI's GPT models.

TinyAgent brings the core ideas of the original Python library into a lean, zero-dependency TypeScript package. It turns plain functions into LLM-driven tools and lets you chain them together through a simple ReAct-style loop.

🤖 An AI-powered DevOps agent implementing ReAct architecture to automate mobile release pipelines (Crash Check -> Perf -> Build -> Audit). Built with LangGraph & Ollama.

🚀 Epic React by Keny C Dodds Summary Repository ⚛

Terminal AI agent with ReAct pattern - execute shell commands, run Python, analyze images. Supports Gemini, OpenAI, Ollama.

🤖 Intelligent, secure, and multilingual chatbot backend for Lorenzo Maiuri's website. Built with FastAPI, Gemini LLM, LlamaIndex, and MongoDB. Features session memory, tool-calling, and robust security

Production-ready template for complex AI agents using LangGraph and LangChain. Implements RAG, ReAct, routing, parallelization, and orchestrator patterns with FastAPI backend and PostgreSQL checkpoints

Example of a high-performance, pluggable AI Agent backend. Features a custom ReAct reasoning loop, production-grade Retrieval-Augmented Generation (RAG) using vector-based similarity search, and MCP-based tool integration. Architected for scalability using the Strategy Design Pattern to swap agentic engines seamlessly.

A comprehensive multi-agent AI system built with LangGraph and Google Gemini. Features specialized agents (Coder, Enhancer, Researcher, Validator), RAG implementation, ReAct pattern, and supervisor orchestration. Includes data analysis, document drafting, and conversational agents with quality validation.

Helping you get started with implementing Agentic AI workflows.

Autonomous multimodal AI agent for Linux. Features a dynamic visual grid overlay for high-precision GUI automation using Llama 3 Vision, Groq, and Python.

How to build AI agents for genomics

Intelligent weather agent powered by LLM and MCP protocol. Provides real-time weather data, forecasts and historical information through natural language queries using Groq, LangChain and multi-API orchestration.

A self-reflective LLM agent with tools, memory, and reasoning built using LangChain + ReAct + Reflexion. Modular FastAPI backend + Streamlit UI.

Agent which added tools itself in runtime. Calls lir because it inspired by Leonid Ivanovich Rogozov who performed the surgery on himself made

🤖 Simplify system administration with an AI agent that interprets natural language, executes commands safely, and analyzes results efficiently.